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  • Regression Models

Regression Models Courses

Regression models courses can help you learn statistical analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting coefficients, assessing model fit, and performing variable selection. Many courses introduce tools like R, Python, and Excel, that support implementing regression techniques and analyzing data sets.


More to explore:

Popular Regression Models Courses and Certifications


  • Status: Preview
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    B

    Board Infinity

    Cloud FinOps

    Skills you'll gain: Cloud Management, Billing, Cloud Computing, Cloud Platforms, Cost Management, Multi-Cloud, Expense Management, Cross-Functional Collaboration, Financial Controls, Amazon Web Services, Budgeting, Account Management, Automation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Nanjing University

    网络课程与学习评价

    Skills you'll gain: Student-Centred Learning, Higher Education, Digital pedagogy, Education Software and Technology, Learning Theory, Innovation, Human Learning, Curriculum Development, Digital Transformation, Emerging Technologies

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Master in Microsoft Power BI Desktop and Service

    Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Transformation, Business Intelligence, Data Modeling, Interactive Data Visualization, Data Manipulation, Dashboard, Data Visualization Software, Microsoft Excel, SQL Server Reporting Services, Data Warehousing, Data Sharing, Data Integration

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Getting Started with Mistral

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Tool Calling, LLM Application, JSON, Large Language Modeling, Model Deployment, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    PepsiCo

    The Water Cycle

    Skills you'll gain: Water Resources, Hydrology, Water Resource Management, Water Sustainability, Water Quality, Environment and Resource Management, Natural Resource Management, Environment, Environmental Science, Quantitative Research, Environmental Monitoring

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    V

    Vanderbilt University

    Qualitative Methods for Quantitative People (with GenAI)

    Skills you'll gain: Large Language Modeling, Responsible AI, Decision Making, Team Management, Resource Allocation, Generative AI, Qualitative Research, Prompt Engineering, Analysis, Communication, Project Management, Data Ethics, Data-Driven Decision-Making, Data Storytelling, Data Visualization

    2.8
    Rating, 2.8 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
    G

    Google Cloud

    AI Infrastructure: Cloud TPUs

    Skills you'll gain: AI Workflows, Cloud Computing Architecture, Performance Tuning, Interoperability, Product Demonstration, Performance Improvement, Benchmarking, Hardware Architecture, Systems Architecture

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Managing Hybrid Teams

    Skills you'll gain: Case Studies, Team Management, Accountability, Leadership and Management, Virtual Teams, Team Building, Collaboration, Leadership, Communication, Workforce Management, Productivity, Employee Engagement, Adaptability

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular regression models courses

  • Cloud FinOps: Board Infinity
  • Generative AI: Foundations and Concepts: Northeastern University
  • 网络课程与学习评价: Nanjing University
  • Master in Microsoft Power BI Desktop and Service: Packt
  • Getting Started with Mistral: DeepLearning.AI
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • The Water Cycle: PepsiCo
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Qualitative Methods for Quantitative People (with GenAI): Vanderbilt University
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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